code: def __init__(
      self, mem_stats_collector: Optional[MemStatsCollector] = None
  ) -> None:
      super().__init__(None, mem_stats_collector=mem_stats_collector)
      # model data will use 1-self._warmup_non_model_data_ratio CUDA memory in warmup phase
      # TODO(ver217): make these args configurable
      self._warmup_non_model_data_ratio: float = 0.8
      self._steady_cuda_cap_ratio: float = 0.9
  
imports: import functools
  from abc import ABC, abstractmethod
  from time import time
  from typing import List, Optional, Type
  import torch
  from colossalai.legacy.utils.memory import colo_device_memory_capacity
  from colossalai.utils import get_current_device
  from colossalai.zero.gemini.memory_tracer import MemStatsCollector
  from .stateful_tensor import StatefulTensor
  from .tensor_utils import colo_model_data_tensor_move_inline
label_desc: Use image node_id 1 to create a new AutoTensorPlacementPolicy object from inherited base classes: TensorPlacementPolicy with example: obj = AutoTensorPlacementPolicy(mem_stats_collector)